|
Department of Computer & Information Science |
Departmental Papers (CIS)
TITLE:
Dynamically Altering Agent Behaviors Using Natural Language Instructions
AUTHOR(S):
Ramamani Bindiganavale, University of Pennsylvania
William Schuler, University of Pennsylvania
Jan M. Allbeck, University of Pennsylvania
Norman I. Badler, University of Pennsylvania
Aravind K. Joshi, University of Pennsylvania
Martha Palmer, University of Pennsylvania
DOCUMENT TYPE: Conference Paper
This document has been peer reviewed.
» Download the Document (PDF format - 220 K) - 03 June 2000
» Tell a colleague about it.
Postprint version. Copyright ACM, 2000. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 4th International Conference on Autonomous Agents 2000 (AGENTS 2000), pages 293-300.
Publisher URL: http://doi.acm.org/10.1145/336595.337503
ABSTRACT:
Smart avatars are virtual human representations controlled by real people. Given instructions interactively, smart avatars can act as autonomous or reactive agents. During a real-time simulation, a user should be able to dynamically refine his or her avatar’s behavior in reaction to simulated stimuli without having to undertake a lengthy off-line programming session. In this paper, we introduce an architecture, which allows users to input immediate or persistent instructions using natural language and see the agents’ resulting behavioral changes in the graphical output of the simulation.
KEYWORDS: animation, agents, natural language
DATE POSTED: 10 September 2005